This notebook contains a set of analyses for analyzing VWValker’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
VWValker | training | published before 2020 | 91 | 104 |
VWValker | validation | published 2020 | 24 | 23 |
VWValker | test | published after 2020 | 39 | 22 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
VWValker | Artist Dennis Lohausen | 5.5% | 0.5% | 11.46 |
VWValker | Has Miniatures | 22.0% | 2.0% | 11.22 |
VWValker | Artist Klemens Franz | 4.4% | 0.6% | 7.20 |
VWValker | Asmodee | 17.6% | 2.6% | 6.78 |
VWValker | ZMan Games | 8.8% | 1.4% | 6.18 |
VWValker | Territory Building | 13.2% | 2.2% | 6.12 |
VWValker | Wizards Of The Coast | 3.3% | 0.6% | 5.99 |
VWValker | Japan | 5.5% | 1.0% | 5.44 |
VWValker | Line Of Sight | 6.6% | 1.3% | 5.04 |
VWValker | Area Majority Influence | 29.7% | 7.1% | 4.19 |
VWValker | Science Fiction | 25.3% | 7.5% | 3.37 |
VWValker | Medieval | 13.2% | 4.6% | 2.86 |
VWValker | Open Drafting | 22.0% | 8.3% | 2.65 |
VWValker | Crowdfunding Kickstarter | 29.7% | 12.5% | 2.37 |
VWValker | Bluffing | 12.1% | 5.7% | 2.12 |
VWValker | Action Dexterity | 9.9% | 5.2% | 1.90 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.810 | no |
2 | 2016 | 169786 | Scythe | 0.590 | yes |
3 | 2011 | 96848 | Mage Knight Board Game | 0.574 | no |
4 | 2015 | 175878 | 504 | 0.559 | no |
5 | 2019 | 286096 | Tapestry | 0.547 | yes |
6 | 2017 | 220308 | Gaia Project | 0.530 | yes |
7 | 2013 | 143693 | Glass Road | 0.513 | no |
8 | 2012 | 120677 | Terra Mystica | 0.481 | no |
9 | 2010 | 70512 | Luna | 0.477 | no |
10 | 2018 | 205896 | Rising Sun | 0.454 | yes |
11 | 2014 | 159508 | AquaSphere | 0.440 | no |
12 | 2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.429 | no |
13 | 2016 | 187645 | Star Wars: Rebellion | 0.404 | yes |
14 | 2009 | 55829 | Axis & Allies Pacific 1940 | 0.388 | no |
15 | 2019 | 281946 | Aftermath | 0.385 | no |
16 | 2007 | 31481 | Galaxy Trucker | 0.353 | no |
17 | 2013 | 146278 | Tash-Kalar: Arena of Legends | 0.347 | no |
18 | 2017 | 174430 | Gloomhaven | 0.332 | yes |
19 | 2004 | 10547 | Betrayal at House on the Hill | 0.324 | no |
20 | 2018 | 222509 | Lords of Hellas | 0.319 | no |
21 | 2008 | 38453 | Space Alert | 0.300 | yes |
22 | 2007 | 22827 | StarCraft: The Board Game | 0.242 | no |
23 | 2012 | 123096 | Space Cadets | 0.241 | no |
24 | 2012 | 104162 | Descent: Journeys in the Dark (Second Edition) | 0.239 | yes |
25 | 2014 | 164153 | Star Wars: Imperial Assault | 0.208 | yes |
26 | 2012 | 123185 | Axis & Allies 1941 | 0.205 | no |
27 | 2019 | 253344 | Cthulhu: Death May Die | 0.203 | no |
28 | 2010 | 65200 | Asteroyds | 0.201 | no |
29 | 2013 | 133528 | City of Remnants | 0.198 | no |
30 | 2016 | 205637 | Arkham Horror: The Card Game | 0.191 | no |
31 | 2011 | 72125 | Eclipse | 0.187 | no |
32 | 2015 | 170216 | Blood Rage | 0.179 | yes |
33 | 2010 | 73171 | Earth Reborn | 0.177 | no |
34 | 2019 | 217576 | Hellenica: Story of Greece | 0.172 | no |
35 | 2014 | 174402 | Tide of Iron: Next Wave | 0.169 | no |
36 | 2011 | 70149 | Ora et Labora | 0.159 | no |
37 | 2016 | 155821 | Inis | 0.158 | no |
38 | 2019 | 274637 | Unmatched: Battle of Legends, Volume One | 0.158 | no |
39 | 2019 | 295564 | Unmatched Game System | 0.158 | no |
40 | 2011 | 104006 | Village | 0.149 | no |
41 | 2010 | 67022 | RisiKo! Challenge | 0.145 | no |
42 | 2017 | 226320 | My Little Scythe | 0.145 | no |
43 | 2015 | 175155 | Forbidden Stars | 0.143 | yes |
44 | 2005 | 12493 | Twilight Imperium: Third Edition | 0.141 | no |
45 | 2010 | 62219 | Dominant Species | 0.140 | no |
46 | 2012 | 113924 | Zombicide | 0.134 | no |
47 | 2017 | 220775 | Codenames: Disney – Family Edition | 0.132 | no |
48 | 2017 | 162886 | Spirit Island | 0.129 | no |
49 | 2015 | 171623 | The Voyages of Marco Polo | 0.125 | no |
50 | 2004 | 10630 | Memoir '44 | 0.124 | no |
51 | 2010 | 61692 | Axis & Allies Europe 1940 | 0.119 | no |
52 | 2019 | 264220 | Tainted Grail: The Fall of Avalon | 0.116 | no |
53 | 2013 | 144239 | Impulse | 0.115 | no |
54 | 2012 | 128271 | Ginkgopolis | 0.113 | no |
55 | 2017 | 209696 | Star Saga | 0.113 | no |
56 | 2016 | 198773 | Codenames: Pictures | 0.111 | no |
57 | 2006 | 25417 | BattleLore | 0.111 | no |
58 | 2012 | 104710 | Wiz-War (Eighth Edition) | 0.111 | no |
59 | 2016 | 177736 | A Feast for Odin | 0.111 | no |
60 | 2017 | 232918 | Fallout | 0.109 | no |
61 | 2004 | 9609 | War of the Ring | 0.109 | no |
62 | 2019 | 271896 | Star Wars: Outer Rim | 0.107 | no |
63 | 2019 | 253574 | Crusader Kings | 0.107 | no |
64 | 2016 | 182340 | Star Trek: Frontiers | 0.103 | no |
65 | 2016 | 205059 | Mansions of Madness: Second Edition | 0.100 | no |
66 | 2012 | 117914 | Milestones | 0.100 | no |
67 | 2009 | 40638 | Risk: Halo Wars Collector's Edition | 0.100 | no |
68 | 1981 | 98 | Axis & Allies | 0.099 | no |
69 | 2015 | 172386 | Mombasa | 0.099 | no |
70 | 2019 | 228328 | Rurik: Dawn of Kiev | 0.099 | no |
71 | 2017 | 188920 | This War of Mine: The Board Game | 0.097 | no |
72 | 2014 | 148951 | Tiny Epic Kingdoms | 0.097 | no |
73 | 2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.096 | no |
74 | 2009 | 45315 | Dungeon Lords | 0.096 | no |
75 | 2018 | 244711 | Newton | 0.095 | no |
76 | 2012 | 109125 | Wallenstein (Second Edition) | 0.095 | no |
77 | 2017 | 221107 | Pandemic Legacy: Season 2 | 0.093 | no |
78 | 2001 | 1262 | Axis & Allies: Pacific | 0.092 | no |
79 | 2002 | 3284 | Star Wars: Epic Duels | 0.091 | no |
80 | 2009 | 40692 | Small World | 0.090 | no |
81 | 2019 | 270971 | Era: Medieval Age | 0.090 | no |
82 | 2019 | 285984 | Last Bastion | 0.090 | no |
83 | 2006 | 22038 | Warrior Knights | 0.087 | no |
84 | 2017 | 195539 | The Godfather: Corleone's Empire | 0.087 | no |
85 | 2017 | 230933 | Merlin | 0.087 | no |
86 | 2014 | 145371 | Three Kingdoms Redux | 0.087 | no |
87 | 2019 | 259081 | Machi Koro Legacy | 0.086 | no |
88 | 2014 | 157958 | DungeonQuest Revised Edition | 0.085 | no |
89 | 2016 | 167791 | Terraforming Mars | 0.085 | yes |
90 | 2018 | 244702 | Geistesblitz Junior | 0.084 | no |
91 | 2016 | 156858 | Black Orchestra | 0.084 | no |
92 | 2014 | 156091 | Sons of Anarchy: Men of Mayhem | 0.084 | no |
93 | 2018 | 170604 | Renegade | 0.084 | no |
94 | 2011 | 70919 | Takenoko | 0.083 | no |
95 | 2000 | 903 | Hamsterrolle | 0.082 | no |
96 | 2008 | 37198 | Risk (Revised Edition) | 0.082 | no |
97 | 1982 | 96 | Broadsides & Boarding Parties | 0.080 | no |
98 | 2012 | 122515 | Keyflower | 0.079 | no |
99 | 2010 | 73439 | Troyes | 0.078 | no |
100 | 2017 | 197376 | Charterstone | 0.077 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.85 |
Decision Tree | roc_auc | binary | 0.63 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think VWValker is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2017 | 233078 | Twilight Imperium: Fourth Edition | 0.810 | no |
2011 | 96848 | Mage Knight Board Game | 0.574 | no |
2015 | 175878 | 504 | 0.559 | no |
2013 | 143693 | Glass Road | 0.513 | no |
2012 | 120677 | Terra Mystica | 0.481 | no |
What games does the model think VWValker is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2013 | 133956 | Axis & Allies: WWI 1914 | 0.001 | yes |
2003 | 8172 | Coyote | 0.001 | yes |
2010 | 102181 | In a Grove | 0.001 | yes |
1983 | 3522 | LCR | 0.001 | yes |
2017 | 221965 | The Fox in the Forest | 0.002 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Terra Mystica | Glass Road | AquaSphere | 504 | Scythe | Twilight Imperium: Fourth Edition | Rising Sun | Tapestry |
2 | Space Cadets | Tash-Kalar: Arena of Legends | Star Wars: Imperial Assault | Blood Rage | Star Wars: Rebellion | Gaia Project | Lords of Hellas | Clank!: Legacy – Acquisitions Incorporated |
3 | Descent: Journeys in the Dark (Second Edition) | City of Remnants | Tide of Iron: Next Wave | Forbidden Stars | Arkham Horror: The Card Game | Gloomhaven | Newton | Aftermath |
4 | Axis & Allies 1941 | Impulse | Tiny Epic Kingdoms | The Voyages of Marco Polo | Inis | My Little Scythe | Renegade | Cthulhu: Death May Die |
5 | Zombicide | Room 25 | Three Kingdoms Redux | Mombasa | A Feast for Odin | Codenames: Disney – Family Edition | Geistesblitz Junior | Hellenica: Story of Greece |
6 | Ginkgopolis | Pelican Bay | DungeonQuest Revised Edition | Through the Ages: A New Story of Civilization | Codenames: Pictures | Spirit Island | Nemesis | Unmatched: Battle of Legends, Volume One |
7 | Wiz-War (Eighth Edition) | Ghost Blitz: 5 to 12 | Sons of Anarchy: Men of Mayhem | V-Wars | Star Trek: Frontiers | Star Saga | Crown of Emara | Unmatched Game System |
8 | Milestones | Burning Suns | Fields of Arle | Runebound (Third Edition) | Mansions of Madness: Second Edition | Fallout | Betrayal Legacy | Tainted Grail: The Fall of Avalon |
9 | Robinson Crusoe: Adventures on the Cursed Island | Carcassonne: South Seas | Orléans | Risk: Europe | Terraforming Mars | This War of Mine: The Board Game | Fireball Island: The Curse of Vul-Kar | Star Wars: Outer Rim |
10 | Wallenstein (Second Edition) | Lewis & Clark: The Expedition | Arcadia Quest | Star Wars: X-Wing Miniatures Game – The Force Awakens Core Set | Black Orchestra | Pandemic Legacy: Season 2 | The Order of Vampire Hunters | Crusader Kings |
11 | Keyflower | Risk: The Walking Dead – Survival Edition | Hyperborea | BATTALIA: The Creation | Agricola (Revised Edition) | The Godfather: Corleone's Empire | GKR: Heavy Hitters | Rurik: Dawn of Kiev |
12 | Kemet | Patchistory | The Golden Ages | Between Two Cities | Ultra Tiny Epic Kingdoms | Merlin | Heroes of Land, Air & Sea | Era: Medieval Age |
13 | Agricola: All Creatures Big and Small | Kings of Artifice | Kill Shakespeare | Oh My Goods! | Clank!: A Deck-Building Adventure | Charterstone | Darklight: Memento Mori | Last Bastion |
14 | Ghost Blitz 2 | Euphoria: Build a Better Dystopia | La Granja | Bad Bunnies | Explorers of the North Sea | Path of Light and Shadow | Zombicide: Green Horde | Machi Koro Legacy |
15 | Rex: Final Days of an Empire | Bruxelles 1893 | Patchwork | The King Is Dead | New Angeles | Rajas of the Ganges | Dice Settlers | Marco Polo II: In the Service of the Khan |
16 | Among the Stars | The Builders: Middle Ages | Helios | Samara | The Others | Wasteland Express Delivery Service | Medioevo Universale | Posthuman Saga |
17 | Sky Tango | Concordia | Xia: Legends of a Drift System | Realm of Heroes | Pandemic: Reign of Cthulhu | Wendake | Neon Gods | Watergate |
18 | Archipelago | Risk: Battlefield Rogue | Sheriff of Nottingham | Haleakala | Aeon's End | 878 Vikings: Invasions of England | Dungeon Alliance | Black Angel |
19 | Libertalia | A Study in Emerald | Murano | Beyond the Gates of Antares | Virus | Valletta | Pandemic: Fall of Rome | Zombicide: Invader |
20 | Escape: The Curse of the Temple | Zpocalypse | Galaxy of Trian | Pandemic Legacy: Season 1 | Forged in Steel | Pendragon: The Fall of Roman Britain | Book of Dragons | Black Rose Wars |
21 | Disaster Looms! | Deadzone | New Dawn | Metal Adventures | Citadels | The 7th Continent | Empires of the Void II | Maracaibo |
22 | Cockroach Poker Royal | BANG! The Dice Game | Port Royal | Tiny Epic Defenders | Habitats | Aristeia! | The Pirate Republic | The Lord of the Rings: Journeys in Middle-Earth |
23 | Qin | Firefly: The Game | Subdivision | Grand Austria Hotel | Legendary Inventors | The Smog Riders: Dimensions of Madness | Duelosaur Island | Circadians: First Light |
24 | Exodus: Proxima Centauri | Tomorrow | Gaïa | Die Fiesen 7 | Carcassonne: Amazonas | Bunny Kingdom | Galactic Warlords: Battle for Dominion | Sierra West |
25 | Kingdom of Solomon | Eight-Minute Empire: Legends | Kakerlakentanz | Magic: The Gathering – Arena of the Planeswalkers | Star Wars: Destiny | Betrayal at Baldur's Gate | Mech Command RTS | Aeronautica Imperialis: Wings of Vengeance |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
VWValker | owned | validation | GLM | roc_auc | 0.741 |
VWValker | owned | validation | Decision Tree | roc_auc | 0.517 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.319 | no |
2020 | 184267 | On Mars | 0.187 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.117 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.111 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.107 | no |
2020 | 246900 | Eclipse: Second Dawn for the Galaxy | 0.104 | no |
2020 | 284777 | Unmatched: Jurassic Park – InGen vs Raptors | 0.093 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.091 | no |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.090 | no |
2020 | 300001 | Renature | 0.069 | no |
2020 | 316554 | Dune: Imperium | 0.062 | yes |
2020 | 256940 | Krosmaster: Blast | 0.061 | no |
2020 | 256999 | Project: ELITE | 0.055 | yes |
2020 | 302465 | Obsidia | 0.049 | no |
2020 | 233262 | Tidal Blades: Heroes of the Reef | 0.048 | yes |
2020 | 282922 | Windward | 0.047 | no |
2020 | 313698 | Monster Expedition | 0.047 | no |
2020 | 256317 | Guild Master | 0.046 | no |
2020 | 301716 | Glasgow | 0.044 | no |
2020 | 248125 | Monumental | 0.042 | no |
2020 | 271002 | Myraclia | 0.042 | no |
2020 | 286021 | Free Market: NYC | 0.041 | no |
2020 | 300322 | Hallertau | 0.039 | no |
2020 | 302840 | Carcata | 0.038 | no |
2020 | 308652 | Age of Dogfights: WW1 | 0.038 | no |
2020 | 296151 | Viscounts of the West Kingdom | 0.038 | no |
2020 | 320819 | Dinner in Paris | 0.038 | no |
2020 | 271055 | Dwellings of Eldervale | 0.037 | no |
2020 | 301030 | The Ming Voyages | 0.036 | no |
2020 | 236861 | Full Moon Jacket | 0.035 | no |
2020 | 304434 | Victim: The Cursed Forest | 0.032 | no |
2020 | 317231 | Monasterium | 0.032 | no |
2020 | 284639 | Gatefall | 0.032 | no |
2020 | 280794 | Etherfields | 0.031 | no |
2020 | 326767 | Infinity N4: Core Rules | 0.030 | no |
2020 | 273092 | Crumbs | 0.029 | no |
2020 | 207486 | Infinities: Defiance of Fate | 0.028 | no |
2020 | 257145 | Teenage Mutant Ninja Turtles Adventures: City Fall | 0.027 | no |
2020 | 302809 | Betrayal at Mystery Mansion | 0.025 | no |
2020 | 308765 | Praga Caput Regni | 0.025 | yes |
2020 | 312804 | Pendulum | 0.024 | no |
2020 | 297892 | Dodelido Extreme | 0.024 | no |
2020 | 304420 | Bonfire | 0.024 | yes |
2020 | 299317 | Aeon's End: Outcasts | 0.022 | no |
2020 | 263192 | Teenage Mutant Ninja Turtles Adventures: Change is Constant | 0.022 | no |
2020 | 249275 | The Silver River | 0.022 | no |
2020 | 294788 | Conqueror: Final Conquest | 0.022 | no |
2020 | 256964 | Dark Rituals: Malleus Maleficarum | 0.021 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.021 | no |
2020 | 306735 | Under Falling Skies | 0.020 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2021 | 343905 | Boonlake | 0.463 | yes |
2 | 2022 | 331106 | The Witcher: Old World | 0.442 | no |
3 | 2021 | 342942 | Ark Nova | 0.308 | yes |
4 | 2022 | 341945 | La Granja: Deluxe Master Set | 0.259 | no |
5 | 2021 | 249277 | Brazil: Imperial | 0.243 | no |
6 | 2022 | 319807 | Shogun no Katana | 0.230 | no |
7 | 2021 | 285967 | Ankh: Gods of Egypt | 0.214 | no |
8 | 2021 | 304985 | Dark Ages: Holy Roman Empire | 0.209 | no |
9 | 2021 | 295535 | Dark Ages: Heritage of Charlemagne | 0.209 | no |
10 | 2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.203 | no |
11 | 2023 | 349793 | Age of Rome | 0.192 | no |
12 | 2021 | 344277 | Corrosion | 0.176 | yes |
13 | 2021 | 340466 | Unfathomable | 0.132 | no |
14 | 2022 | 295770 | Frosthaven | 0.124 | no |
15 | 2022 | 317511 | Tindaya | 0.120 | no |
16 | 2021 | 331549 | MiniQuest Adventures | 0.120 | no |
17 | 2021 | 336794 | Galaxy Trucker | 0.120 | no |
18 | 2022 | 258779 | Planet Unknown | 0.117 | no |
19 | 2022 | 338067 | 6: Siege – The Board Game | 0.114 | no |
20 | 2022 | 310873 | Carnegie | 0.113 | no |
21 | 2023 | 315727 | Last Light | 0.104 | no |
22 | 2021 | 292375 | The Great Wall | 0.104 | no |
23 | 2021 | 331787 | Tiny Epic Dungeons | 0.103 | no |
24 | 2022 | 314580 | Hamburg | 0.095 | no |
25 | 2022 | 322524 | Bardsung | 0.095 | no |
26 | 2022 | 256680 | Return to Dark Tower | 0.092 | no |
27 | 2022 | 350316 | Wayfarers of the South Tigris | 0.091 | no |
28 | 2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.089 | no |
29 | 2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.088 | no |
30 | 2022 | 326933 | Unmatched: Redemption Row | 0.085 | no |
31 | 2022 | 326934 | Unmatched: Hell's Kitchen | 0.085 | no |
32 | 2021 | 262201 | Sword & Sorcery: Ancient Chronicles | 0.084 | no |
33 | 2022 | 299106 | Fractal: Beyond the Void | 0.083 | no |
34 | 2021 | 306202 | Philosophia: Floating World | 0.079 | no |
35 | 2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.074 | no |
36 | 2022 | 324090 | Scarface 1920 | 0.073 | no |
37 | 2022 | 284778 | Unmatched: Jurassic Park – Dr. Sattler vs. T. Rex | 0.072 | no |
38 | 2022 | 315610 | Massive Darkness 2: Hellscape | 0.071 | no |
39 | 2022 | 281258 | Sub Terra II: Inferno's Edge | 0.070 | no |
40 | 2021 | 260524 | Beyond Humanity: Colonies | 0.069 | no |
41 | 2021 | 329465 | Red Rising | 0.068 | no |
42 | 2022 | 317321 | Darkest Dungeon: The Board Game | 0.067 | no |
43 | 2022 | 331398 | Mythic Battles: Ragnarök | 0.066 | no |
44 | 2023 | 337627 | Voidfall | 0.062 | no |
45 | 2022 | 266064 | Trudvang Legends | 0.062 | no |
46 | 2022 | 344105 | Anunnaki: Dawn of the Gods | 0.060 | no |
47 | 2021 | 299566 | Batman: The Animated Series Adventures – Shadow of the Bat | 0.060 | no |
48 | 2021 | 295947 | Cascadia | 0.059 | yes |
49 | 2021 | 286751 | Zombicide: 2nd Edition | 0.059 | no |
50 | 2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.058 | no |
51 | 2022 | 324894 | Free Radicals | 0.056 | no |
52 | 2021 | 342848 | World of Warcraft: Wrath of the Lich King | 0.055 | no |
53 | 2021 | 283387 | Rocketmen | 0.054 | no |
54 | 2022 | 322656 | burncycle | 0.053 | no |
55 | 2023 | 274471 | Malhya: Lands of Legends | 0.053 | no |
56 | 2021 | 316786 | Tabannusi: Builders of Ur | 0.052 | yes |
57 | 2022 | 311988 | Frostpunk: The Board Game | 0.052 | no |
58 | 2021 | 309430 | Tiny Epic Pirates | 0.050 | no |
59 | 2022 | 284842 | So, You've Been Eaten | 0.050 | no |
60 | 2021 | 344768 | Mobile Markets: A Smartphone Inc. Game | 0.048 | no |
61 | 2021 | 276856 | Ruination | 0.048 | no |
62 | 2022 | 330950 | Age of Galaxy | 0.047 | no |
63 | 2021 | 303954 | Pax Viking | 0.046 | no |
64 | 2021 | 247585 | Waste Knights: Second Edition | 0.046 | no |
65 | 2022 | 305096 | Endless Winter: Paleoamericans | 0.046 | no |
66 | 2021 | 324657 | Core Space: First Born | 0.045 | no |
67 | 2022 | 342900 | Earthborne Rangers | 0.044 | no |
68 | 2022 | 354254 | Voices In My Head | 0.044 | no |
69 | 2022 | 273814 | Deliverance | 0.044 | no |
70 | 2021 | 239189 | Chronicle X | 0.043 | no |
71 | 2022 | 305462 | The Age of Atlantis | 0.043 | no |
72 | 2022 | 251661 | Oathsworn: Into the Deepwood | 0.042 | no |
73 | 2021 | 336195 | League of Dungeoneers | 0.042 | no |
74 | 2021 | 290236 | Canvas | 0.041 | no |
75 | 2021 | 301366 | Caves of Rwenzori | 0.041 | no |
76 | 2021 | 295785 | Euthia: Torment of Resurrection | 0.039 | no |
77 | 2021 | 314589 | Night Parade of a Hundred Yokai | 0.039 | no |
78 | 2021 | 285192 | Destinies | 0.039 | yes |
79 | 2022 | 334065 | Verdant | 0.038 | no |
80 | 2021 | 336382 | Marvel United: X-Men | 0.037 | no |
81 | 2021 | 314491 | Meadow | 0.037 | no |
82 | 2022 | 282775 | The Warp | 0.036 | no |
83 | 2021 | 275061 | Rulebenders | 0.036 | no |
84 | 2021 | 346553 | Heuschrecken Poker | 0.036 | no |
85 | 2021 | 252752 | Genotype: A Mendelian Genetics Game | 0.036 | no |
86 | 2021 | 299659 | Clash of Cultures: Monumental Edition | 0.035 | no |
87 | 2021 | 322588 | Origins: First Builders | 0.035 | no |
88 | 2021 | 325022 | Coffee Traders | 0.034 | yes |
89 | 2021 | 319263 | One Card Dungeon | 0.034 | no |
90 | 2022 | 266018 | Trinidad | 0.034 | no |
91 | 2022 | 319421 | Mission Catastrophe | 0.034 | no |
92 | 2021 | 286632 | Blood of the Northmen | 0.034 | no |
93 | 2022 | 256997 | Perseverance: Castaway Chronicles – Episodes 1 & 2 | 0.033 | no |
94 | 2021 | 329593 | Settlement | 0.033 | yes |
95 | 2021 | 277080 | Titans | 0.033 | no |
96 | 2023 | 351817 | Marvel Zombies: A Zombicide Game | 0.032 | no |
97 | 2021 | 266448 | Imperium: The Contention | 0.032 | no |
98 | 2021 | 340834 | Gravwell: 2nd Edition | 0.032 | no |
99 | 2021 | 297562 | Kemet: Blood and Sand | 0.032 | no |
100 | 2021 | 320446 | Corduba 27 a.C. | 0.032 | no |